Scale Engineer

Software Engineer

Software Engineer67Hard

This interview process is for a Software Engineer (Level 67) at Microsoft. It is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within Microsoft.

Rounds·4

Timeline·~14d

Experience·8 - 15 yrs

Comp band·US$180000 - US$250000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving approach and analytical skills.
  • Data structures and algorithms knowledge.
  • Coding proficiency and best practices.
  • System design and architectural thinking.
  • Communication and collaboration skills.
  • Behavioral and cultural fit.
  • Leadership potential and impact.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases, and networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, and AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles and common patterns for building scalable and reliable systems.
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Microsoft's products, values, and recent news.
  6. Understand the specific technologies and domains relevant to the team you are interviewing for.
  7. Practice explaining your thought process clearly and concisely.
  8. Prepare thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems/day.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these from scratch and analyze their time and space complexity. Aim for 2-3 problems per day.

Questions

Commonly asked.

  • Design a URL shortening service like bit.ly.
  • Implement a function to find the k-th largest element in an unsorted array.
  • How would you design a system to handle real-time analytics for a popular website?
  • Describe a challenging project you worked on and your role in it.
  • What are the trade-offs between monolithic and microservices architectures?
  • Explain the concept of eventual consistency.
  • How do you approach debugging a distributed system?
  • Tell me about a time you disagreed with a team member. How did you resolve it?
  • Design a system to recommend products to users on an e-commerce platform.
  • What are the principles of object-oriented programming?
  • How would you optimize a web application's performance?
  • Describe a situation where you had to learn a new technology quickly.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Redmond, USA

Interview focus

Deep understanding of distributed systems and cloud computing principles.Experience with large-scale data processing and analytics.Ability to mentor junior engineers and lead technical initiatives.Strong communication and collaboration skills, especially in cross-functional teams.

Common questions

  • How would you design a distributed caching system for a large-scale web application?
  • Discuss a time you had to deal with a significant technical debt. How did you approach it?
  • Explain the CAP theorem and its implications for distributed systems.
  • Describe a complex bug you encountered and how you debugged it.

Tips

  • Emphasize experience with Azure services and their integration.
  • Be prepared to discuss your contributions to open-source projects.
  • Highlight any experience with AI/ML integration in software solutions.
  • Showcase leadership and mentorship experience.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Microsoft.

Frequently reported on Microsoft loops

View all at Microsoft

Other guides

More at Microsoft.